The evaluation of the effect of different superdisintegrants on the drug release from FDM 3D printed tablets through different applied strategies: In vitro-in silico assessment.

Paracetamol-loaded tablets were printed by fused deposition modelling technique, using polyvinyl alcohol as a backbone polymer and Affinisol™ HPMC as a plasticizer in all formulations. Four different strategies were applied in order to accelerate the drug release from the tablets. First, different release enhancers were added: sodium starch glycolate, croscarmellose sodium, Kollidon CL and mannitol. Kollidon CL and mannitol showed the greatest influence on the drug dissolution rate. The second strategy included lowering the infill density, which did not make any significant changes in dissolution profiles, according to the calculated similarity factor. Then the best two release enhancers from the first strategy were combined (Kollidon CL and mannitol) and this proved to be the most effective in the drug release acceleration. The fourth strategy, increasing the percentage of the release enhancers in formulation, revealed the importance of their concentration limits. In summary, the drug release accelerated from 58% released after 5 h to reaching the plateau within 2 h. In silico physiologically-based biopharmaceutics modelling showed that formulations with mannitol and Kollidon CL, especially the formulation containing a combination of these release enhancers, can provide relatively fast drug release and extent of drug absorption that complies with an immediate release tablet.

Paracetamol extended release FDM 3D printlets: Evaluation of formulation variables on printability and drug release.

Paracetamol printlets were prepared via hot-melt extrusion process and fused deposition modelling, using two types of backbone polymers. Polycaprolactone (PCL) and Polyethylene oxides (PEO) 100 K and 200 K were used, while Arabic gum was used as a plasticizer to facilitate the material flow and Gelucire® 44/14 as an enhancer of drug release. Different drug/polymer ratios were prepared. Extrusion temperature was adjusted according to the mixture/polymer types. It was possible to produce filaments with maximum of 60% w/w of drug. Mechanical properties of filaments were evaluated using three-point bend test, while obtained parameters were modelled using decision tree as a data mining method. Correlation between maximum displacement, maximum force and printability was obtained with accuracy of 84.85% and can be a useful tool for predicting printability of filaments. This study briefly demonstrated that backbone polymer in formulation plays crucial role in obtaining FDM printlets with desired properties. PEO-based filaments were more prone to be clogged in printcore, but their printlets showed much faster drug release. Drug release from all printlets was prolonged: from 50% in 8 h (PCL), to complete release in 4 h (PEO). Paracetamol release kinetics was guided by anomalous transport, attributed to the diffusion and erosion process.